Title :
Reduction of Walsh-transformed electrocardiograms by double logarithmic coding
Author :
Berti, E. ; Chiaraluce, F. ; Evans, N.E. ; McKee, J.J.
Author_Institution :
Gen. Impianti, Moie di Maiolati, Italy
Abstract :
This work presents an electrocardiogram ECG data reduction method based on Walsh spectrum double logarithmic quantization. The technique is theoretically justified for a simulated ECG and its practical efficiency confirmed using MIT/BIH arrhythmia database signals. By classifying a "good" compression as one with MSE≤0.005 for 1:1 spectral reduction, a normal/abnormal ECG mix returned an 87% success rate for waveforms stored with 8- to 11-bit resolution.
Keywords :
Walsh functions; data reduction; electrocardiography; encoding; medical signal processing; MIT/BIH arrhythmia database signals; Walsh spectrum double logarithmic quantization; Walsh-transformed electrocardiograms; double logarithmic coding; electrocardiogram ECG data reduction method; electrodiagnostics; good compression; nonuniform quantitation; normal/abnormal ECG mix; simulated ECG; spectral reduction; Acoustic noise; Biomedical measurements; Energy measurement; Frequency; Jitter; Laser noise; Noise level; Noise measurement; Signal resolution; Wavelet transforms; Arrhythmias, Cardiac; Biomedical Engineering; Biometry; Data Interpretation, Statistical; Electrocardiography; Humans;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
